Haohong Lin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Conditional Distribution

Reinforcement Learning

Autonomous Driving

Top Venues

IEEE Robotics Autom. Lett.

Publications

Haohong Lin, Radu Corcodel, Ding Zhao
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. ICRA (2024)
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR (2024)
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. 9 (5) (2024)
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR (2024)
Haohong Lin, Radu Corcodel, Ding Zhao
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. CoRR (2024)
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR (2023)
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR (2023)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. CoRR (2022)
Huajie Shao, Yifei Yang, Haohong Lin, Longzhong Lin, Yizhuo Chen, Qinmin Yang, Han Zhao
Rethinking Controllable Variational Autoencoders. CVPR (2022)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. NeurIPS (2022)
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. CoRR (2022)
Diana Gómez, Haohong Lin, Peide Huang, Corey Harper, Ding Zhao
Coalitional Fairness of Autonomous Vehicles at a T-Intersection. ITSC (2022)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. CoRL (2022)
Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher
Controllable and Diverse Text Generation in E-commerce. CoRR (2021)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation. CoRR (2021)
Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher
Controllable and Diverse Text Generation in E-commerce. WWW (2021)
Huiyan Li, Haohong Lin, You Wang, Hengyang Wang, Han Gao, Qing Ai, Guang Li
Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model. CoRR (2021)
Huajie Shao, Haohong Lin, Qinmin Yang, Shuochao Yao, Tarek F. Abdelzaher
Challenging β-VAE with β<1 for Disentanglement Via Dynamic Learning. CoRR (2020)
Hongyi Ye, Haohong Lin, Zijun Song, Ming Zhang, Ruifen Hu, Nan Li, Guang Li
Attention Bidirectional LSTM Networks Based Mime Speech Recognition Using sEMG Data. SMC (2020)
Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di, Song Wu
GIRAFFE: A scalable distributed coordination service for large-scale systems. CLUSTER (2014)